Zhi-Li Zhang

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 9 papers; trusts 500 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 139 citations into it; #5,522 of 21,575 by trust here, #3,280 by citations
• Artificial Intelligence — 110 citations into it; #15,459 of 35,345 by trust here, #7,172 by citations
• Graph Learning — 43 citations into it
• Model Architectures — 40 citations into it
• Optimization & Training — 24 citations into it
• Computer Networks and Communications — 22 citations into it; #7,455 of 9,886 by trust here, #5,133 by citations
• Evaluation & Benchmarks — 15 citations into it
• Statistical and Nonlinear Physics — 11 citations into it; #4,509 of 10,127 by trust here, #7,402 by citations

Whom Zhi-Li Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Karen Simonyan
8. Christian Szegedy
9. Shaoqing Ren
10. Diederik P. Kingma

Who trusts Zhi-Li Zhang overall

1. Zhang Xinyi
2. Hugo Touvron
3. Irwan Bello
4. Konstantin Sofiiuk
5. Upesh Nepal
6. Songtao Liu
7. Andrew Brock
8. Chen Cai
9. Lihu Chen
10. Saurabh Verma

Papers from Zhi-Li Zhang's perspective

Ordered by how strongly the researchers Zhi-Li Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Bag of Tricks for Image Classification with Convolutional Neural Networks (2018) — 1,617 citations
• ResNeSt: Split-Attention Networks (2020) — 1,747 citations
• Bag of Freebies for Training Object Detection Neural Networks (2019) — 203 citations
• Service overlay networks: SLAs, QoS and bandwidth provisioning (2002) — 373 citations
• Graph Capsule Convolutional Neural Networks (2018) — 139 citations
• Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs (2017) — 147 citations
• Unreeling netflix: Understanding and improving multi-CDN movie delivery (2012) — 423 citations
• Commute Times for a Directed Graph using an Asymmetric Laplacian (2011) — 97 citations
• Profiling internet backbone traffic: behavior models and applications (2005) — 427 citations